NINL
Ninein-like protein [KIAA0980] [NLP]
Publications[править]
Traditional tests used in the clinic to identify dementia, such as the mini-mental state examination (MMSE), are useful to identify severe cognitive impairments but might be less sensitive to detect more subtle age-related cognitive changes. Previously, the novel image-novel location (NINL) object recognition test was shown to be sensitive to detect effects of apolipoprotein E4, a risk factor for developing age-related cognitive decline and Alzheimer's disease, in nondemented elderly. In the present longitudinal study, performance on the MMSE and the NINL tests were compared over a 4-year period. Individual NINL scores over this period were highly correlated. In addition, while MMSE scores did not change over the 4-year period, NINL scores did. In a final testing session of a subset of the participants, NINL scores correlated with logical memory and word recall lists, cognitive tasks used to detect dementia in the clinic, as well as clinical dementia rating scales. These results support that the NINL might be a valuable tool to assess age-related cognitive decline.
MeSH Terms
- Aged
- Aged, 80 and over
- Aging
- Apolipoprotein E4
- Biomarkers
- Cognition Disorders
- Humans
- Longitudinal Studies
- Neuropsychological Tests
- Oregon
- Psychiatric Status Rating Scales
- Risk Factors
Previously we reported that apolipoprotein E (ApoE) epsilon4 negatively affects performance in the novel-image-novel-location (NINL) object recognition test in healthy non-demented elderly human study participants. In this study, the participants were invited to return for testing sessions 6 and 18 months after the baseline session. Using a longitudinal study design, effects of epsilon4 on NINL test performance were assessed in study "dropouts", participants that did not return for the second and/or third session(s), and "finishers", participants that returned for all sessions. There were effects of epsilon4 on dropout rates and NINL total scores as well as sub-scores in both dropouts and finishers. NINL total score was a predictor of epsilon4 participant dropout. Compared to non-epsilon4 dropouts, epsilon4 dropouts had lower NINL scores. In contrast, epsilon4 finishers had higher NINL scores than non-epsilon4 finishers. Thus, the NINL test could be a valuable tool in detecting pre-clinical signs of age-related cognitive impairments, particularly those associated with epsilon4 risk.
MeSH Terms
- Aged
- Aged, 80 and over
- Aging
- Apolipoprotein E4
- Chi-Square Distribution
- Cognition
- Cortisone
- Female
- Genotype
- Geriatric Assessment
- Humans
- Logistic Models
- Longitudinal Studies
- Male
- Memory
- Middle Aged
- Neuropsychological Tests
- Oregon
- Patient Dropouts
- Phenotype
- Recognition, Psychology
- Risk Assessment
- Risk Factors
- Saliva
- Testosterone
- Time Factors